def test_rescale_threshold(self):
infinity = float('inf')
for alpha in (0.015, 1e-10, 1):
rescale_threshold = ExponentiallyDecayingSample.calculate_rescale_threshold(alpha)
min_rand_val = 1.0 / (2 ** 32)
max_priority = math.exp(alpha * rescale_threshold) / min_rand_val
self.assertLess(max_priority, infinity)
def test_rescale_threshold(self):
infinity = float('inf')
for alpha in (0.015, 1e-10, 1):
rescale_threshold = \
ExponentiallyDecayingSample.calculate_rescale_threshold(alpha)
min_rand_val = 1.0 / (2**32)
max_priority = math.exp(alpha * rescale_threshold) / min_rand_val
self.assertLess(max_priority, infinity)
